Triple

T15213031
Position Surface form Disambiguated ID Type / Status
Subject Miðgarðr E363564 entity
Predicate createdBy P806 FINISHED
Object E250349 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vé | Statement: [Miðgarðr, createdBy, Vé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vé
Context triple: [Miðgarðr, createdBy, Vé]
  • A. chosen
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • B. Vianí
    Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • C. Vézinet
    Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
  • D. Ven Te
    Ven Te is the given name of Ven Te Chow, a prominent Chinese-American civil engineer and hydrologist known for his influential work in hydraulic engineering and water resources.
  • E. Vale
    Vale is a major global mining company known for producing iron ore, nickel, and other minerals, with significant operations in the Sudbury Basin in Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076c9e2481909d7a464b2172f4bf completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed341cfb8819086b386c6cb905eda completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.